Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
The Deep Learning - Part 2 certification course covers a comprehensive curriculum that includes an intersection of Deep Learning and Generative Modeling, Restricted Boltzmann Machines, Markov Chains and Gibbs Sampling for training RBMs. The students gain hands-on training from expert professionals in the industry. This course provides from basic to in-depth discussion on the subject.
The Deep Learning - Part 2 certification by NPTEL course duration is 8 weeks and deep learning is the prerequisite for this course. This course benefits the students to equipped with the necessary skills and knowledge to excel in the deep learning field. The course can be obtained by BE/BTech/ME/MTech/MS/PhD students.
The Highlights
- 8 Weeks to Complete
- IIT Completion Certification
- Elective Online Course
- For UG/PG/PhD
Programme Offerings
- Books
- video lectures
- Transcripts
- Hands-on Learning
- assignments
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIT Madras (IITM) |
Eligibility Criteria
Academic Qualifications
The Deep Learning - Part 2 certification course is eligible for BE/BTech/ME/MTech/MS/PhD students.
What you will learn
After completing the Deep Learning - Part 2 certification syllabus, the students will explore directed graphical models, Markov networks, joint distributions for classification and sampling, and latent variables. They will also gain in-depth knowledge in variational autoencoders, autoregressive models, GANs, restricted Boltzmann Machines, and unsupervised learning.
When the students have completed the Deep Learning - Part 2 training, they will also explore various principles and strategies explained by industry experts and implement them in real-world projects. Students will gain hands-on training experience which can be applied by various companies such as Google, Microsoft, Amazon, Adobe, and IBM.
Who it is for
The Deep Learning - Part 2 online course is designed for aspiring computer science and engineering students looking to enhance their skills and knowledge. This course can also be beneficial for:
Admission Details
To register for the Deep Learning - Part 2 classes, follow these steps:
Step 1: Click the link below:
https://nptel.ac.in/courses/106106201
Step 2: Students can “Login In” with the “Log In button” available on the top right side of the page and create a separate account or “Log In with Microsoft or Google Account.”
Step 3: After filling out the details in the form submit and join the course.
The Syllabus
- A brief introduction to Directed Graphical Models
- A brief introduction to Markov Networks, Using joint distributions for classi cation and sampling, Latent variables
- Restricted Boltzmann Machines, Unsupervised Learning, Motivation for Sampling, Markov Chains, Gibbs Sampling for training RBMs, and Contrastive Divergence for training RBMs
- Variational Autoencoders, Autoregressive models, GANs
IIT Madras (IITM) Frequently Asked Questions (FAQ's)
The only prerequisite for this certification course is the deep learning knowledge and skills that the students must have to obtain the course.
It takes 8 weeks of duration to complete this course. The students can access the online study material available on the official website to gain in-depth knowledge.
The companies or industries that apply to this certification course are Google, Microsoft, Amazon, Adobe, and IBM.
Yes, engineering background students are also eligible for this course. The intended audience for this course is BE/BTech/ME/MTech/MS/PhD students.
The certification course covers various topics such as Directed Graphical Models, Markov Networks, Markov Chains, Gibbs Sampling for training RBMs, Variational Autoencoders, Autoregressive models, and GANs.